empowering people through innovation

Randstad Sourceright is a global talent solutions leader, driving talent acquisition strategies for the world's most successful employers. We empower companies by leveraging a people-centric strategy that balances the use of innovative technologies with expert insights, supporting both organizations and people in realizing their true potential. 

As part of Randstad Enterprise and an operating company of Randstad N.V. — the global leader in the HR services industry with revenue of € 25.4 billion — Randstad Sourceright's subject matter experts and thought leaders around the world continuously build and evolve our solutions across recruitment process outsourcing (RPO), managed services programs (MSP) and services procurement/statement of work (SOW).

Data Engineer - 92

Full Time
Hybrid

Warsaw, Poland

Posted 30+ days ago

Are you ready to be part of a global leader in the FMCG industry, with a legacy built on innovative and iconic brands? Our client, an American, dynamic and forward-thinking company based in Warsaw, Poland, is seeking an experienced Data Engineer to join their team. This is more than just a job - it's an opportunity to immerse yourself in a culture that values family, fosters growth, and offers stability for long-term success. Join a company that combines its strong heritage with a passion for shaping the future, and help drive excellence within an industry leader.

As a Data Engineer, you’ll be at the heart of building and optimizing the data infrastructure that powers business decisions. You’ll work cross-functionally with analysts, data scientists, and IT to ensure data is reliable, accessible, and primed for insight generation across the organization.

Your Role in the Spotlight:

  • Design, build, and maintain scalable data architectures and robust processing systems.
  • Assemble and manage complex datasets that meet both functional and non-functional business needs.
  • Drive efficiency by automating manual processes and redesigning data pipelines for enhanced performance and scalability.
  • Develop and maintain ETL frameworks to extract data from diverse sources and ensure seamless integration into data platforms.
  • Collaborate closely with analytics and science teams to deliver accurate, high-quality data for modeling and analysis.
  • Monitor pipeline health and troubleshoot issues to ensure seamless data flow and minimal downtime.
  • Support steady-state operations of the data warehouse, including periodic 24x7 on-call availability as needed.

What Makes You a Great Fit:

  • 2+ years of experience in data engineering or a related field.
  • Solid foundation in SQL and hands-on experience with relational databases.
  • Familiarity with big data tools such as Hadoop or Spark, and workflow orchestration tools like Apache Nifi or Airflow.
  • Proficient in programming languages including Python, Java, ABAP, and SQL.
  • Strong analytical mindset with a meticulous approach to problem-solving.
  • Collaborative and communicative team player fluent in English.
  • Comfortable with a 4+1 hybrid office with Fridays at home.

Why You’ll Stand Out:

  • Experience working with cloud-based data solutions (AWS, Azure, or GCP).
  • Knowledge of enterprise data warehousing platforms like Redshift or BigQuery.
  • Familiarity with leading data visualization tools such as Tableau or Power BI.
  • Exposure to SAP Business Warehouse (BW) and ABAP programming.

What is Offered:

Competitive pay structures that recognize both individual and company performance, along with a range of premium benefits, some of which are outlined here. The rest can be discussed over a coffee conversation:

  • Benefit Cafeteria offering options across education, travel, dining, culture, entertainment, sports, and recreation, tailored to individual needs.
  • Additional Financial Support in the event of childbirth or marriage.
  • Gym Card to support a healthy lifestyle.
  • Comprehensive Medical Care for employees and their immediate family members/partners.
  • And many more benefits to be discovered in person!